Xiaoli Tang

Orcid: 0000-0003-4428-0895

According to our database1, Xiaoli Tang authored at least 62 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion.
Neural Networks, 2024

Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning.
IEEE Internet Things J., 2024

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning.
CoRR, 2024

RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model.
CoRR, 2024

Advances and Open Challenges in Federated Learning with Foundation Models.
CoRR, 2024

Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process.
Proceedings of the International Joint Conference on Neural Networks, 2024

Stakeholder-oriented Decision Support for Auction-based Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dual Calibration-based Personalised Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Intelligent Agents for Auction-based Federated Learning: A Survey.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Active Noise Control Over A Large Region with Multiple Spherical Microphone Arrays In Wave Domain.
Proceedings of the IEEE International Conference on Acoustics, 2024

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion.
Neural Networks, July, 2023

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings.
IEEE Trans. Knowl. Data Eng., 2023

Multi-Session Budget Optimization for Forward Auction-based Federated Learning.
CoRR, 2023

Hierarchical Federated Learning Incentivization for Gas Usage Estimation.
CoRR, 2023

Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Utility-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
A Squeezed Modulation Signal Bispectrum Method for Motor Current Signals Based Gear Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising.
Knowl. Based Syst., 2022

Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning.
CoRR, 2022

A feature fusion enhanced multiscale CNN with attention mechanism for spot-welding surface appearance recognition.
Comput. Ind., 2022

Bi-objective service composition and optimal selection for cloud manufacturing with QoS and robustness criteria.
Appl. Soft Comput., 2022

Wave Domain Sound Field Interpolation Using Two Spherical Microphone Arrays.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
A deep learning approach for identifying biomedical breakthrough discoveries using context analysis.
Scientometrics, 2021

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Paper-patent citation linkages as early signs for predicting delayed recognized knowledge: Macro and micro evidence.
J. Informetrics, 2020

Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution.
IEEE Access, 2020

Active Noise Control Over Multiple Zones: Adaptive Algorithm in Time Domain.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Measuring the knowledge translation and convergence in pharmaceutical innovation by funding-science-technology-innovation linkages analysis.
J. Informetrics, 2019

MuFA (Multi-type Fourier Analyzer): A tool for batch generation of MuMax3 input scripts and multi-type Fourier analysis from micromagnetic simulation output data.
Comput. Phys. Commun., 2019

Unifying Task-Oriented Knowledge Graph Learning and Recommendation.
IEEE Access, 2019

AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Patent citations to scientific papers as early signs for predicting delayed recognition of scientific discoveries: a comparative study with instant recognition.
Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

2018
Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review.
Sensors, 2018

A Review on Energy Harvesting Supplying Wireless Sensor Nodes for Machine Condition Monitoring.
Proceedings of the 24th International Conference on Automation and Computing, 2018

Diagnosing the Change in the Internal Clearances of Rolling Element Bearings based on Vibration Signatures.
Proceedings of the 24th International Conference on Automation and Computing, 2018

2017
Early detection of rolling bearing faults using an auto-correlated envelope ensemble average.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Planetary gearbox fault diagnosis using an on-rotor MEMS accelerometer.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

The identification of shaft current induced defects on rolling bearings in wind turbine generators.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

2016
The effects of research level and article type on the differences between citation metrics and F1000 recommendations.
J. Assoc. Inf. Sci. Technol., 2016

2015
Improvement and Empirical Research on Journal's First - Citation - Speed-Index.
Proceedings of the 15th International Conference on Scientometrics and Informetrics, Istanbul, Turkey, June 29, 2015

2013
Perceptions of author order versus contribution among researchers with different professional ranks and the potential of harmonic counts for encouraging ethical co-authorship practices.
Scientometrics, 2013

2012
Gene2DGE: A Perl Package for Gene Model Renewal with Digital Gene Expression Data.
Genom. Proteom. Bioinform., 2012

2011
Genetic Flux Between H1 and H2 Haplotypes of the 17q21.31 Inversion in European Population.
Genom. Proteom. Bioinform., 2011

2010
Scanning for Genomic Regions Subject to Selective Sweeps Using SNP-MaP Strategy.
Genom. Proteom. Bioinform., 2010

2008
Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2006
Lossy-To-Lossless Block-Based Compression of Hyperspectral Volumetric Data.
Proceedings of the International Conference on Image Processing, 2006

Three-Dimensional Wavelet-Based Compression of Hyperspectral Images.
Proceedings of the Hyperspectral Data Compression, 2006

2005
Progressive resolution coding of hyperspectral imagery featuring region of interest access.
Proceedings of the Visual Information Processing XIV, 2005

Scalable Hyperspectral Image Coding.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Lossless compression for three-dimensional images.
Proceedings of the Visual Communications and Image Processing 2004, 2004

Geometric-model-based segmentation of the prostate and surrounding structures for image-guided radiotherapy.
Proceedings of the Visual Communications and Image Processing 2004, 2004

2003
3D set partitioning coding methods in hyperspectral image compression.
Proceedings of the 2003 International Conference on Image Processing, 2003

Comparison of 3D Set Partitioning Methods in Hyperspectral Image Compression Featuring an Improved 3D-SPIHT.
Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003


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